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Kenji Nakayama
2010 – today
- 2010
[c18]Kenji Nakayama, Hiroki Horita, Akihiro Hirano: A BCI System Based on Orthogonalized EEG Data and Multiple Multilayer Neural Networks in Parallel Form. ICANN (1) 2010: 205-210
[c17]Akihiko Sugiyama, Yuusuke Mizuno, Akihiro Hirano, Kenji Nakayama: A stereo echo canceller with simultaneous input-sliding and sliding-period control. ICASSP 2010: 325-328
[c16]Kenji Nakayama, Yasunori Iwanami, Eiji Okamoto: MIMO MFSK receivers using FDE and MLD on quasi-static frequency selective fading channels. ISITA 2010: 31-36
2000 – 2009
- 2008
[c15]Kenji Nakayama, Hiroki Horita, Akihiro Hirano: Neural Network Based BCI by Using Orthogonal Components of Multi-channel Brain Waves and Generalization. ICANN (2) 2008: 879-888
[c14]Jovan David Rebolledo Méndez, Kenji Nakayama: Adaptive Self-feeding Natural Language Generator Engine. IVA 2008: 533-534- 2007
[j5]Kenji Nakayama: Special Section on Multimedia and Mobile Signal Processing. IEICE Transactions 90-A(3): 545 (2007)
[j4]Akihide Horita, Kenji Nakayama, Akihiro Hirano: A Distortion-Free Learning Algorithm for Feedforward Multi-Channel Blind Source Separation. IEICE Transactions 90-A(12): 2835-2845 (2007)
[c13]Akihide Horita, Kenji Nakayama, Akihiro Hirano: Analysis and Comparative Study of Source Separation Performances in Feed-Forward and Feed-Back BSSs Based on Propagation Delays in Convolutive Mixture. ICANN (1) 2007: 169-179- 2006
[j3]Boris Jansen, Kenji Nakayama: An Adaptive Penalty-Based Learning Extension for the Backpropagation Family. IEICE Transactions 89-A(8): 2140-2148 (2006)
[c12]Boris Jansen, Kenji Nakayama: An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants. IJCNN 2006: 3395-3400
[c11]Akihide Horita, Kenji Nakayama, Akihiro Hirano, Yasuhiro Dejima: A Distortion Free Learning Algorithm for Feedforward BSS and ITS Comparative Study with Feedback BSS. IJCNN 2006: 3911-3918
[c10]Junji Furusho, Chengqiu Li, Xinghao Hu, Naoto Shichi, Takehito Kikuchi, Akio Inoue, Kenji Nakayama, Yuhei Yamaguchi, Ushio Ryu: Development of a 6-DOF force display system using ER actuators with high-safety. VRCIA 2006: 405-408- 2005
[j2]Kenji Nakayama: Special Section on Papers Selected from the 19th Symposium on Signal Processing. IEICE Transactions 88-A(8): 2043 (2005)- 2003
[j1]Youhua Wang, Kazushi Ikeda, Kenji Nakayama: A numerically stable fast Newton-type adaptive filter based on order recursive least squares algorithm. IEEE Transactions on Signal Processing 51(9): 2357-2368 (2003)- 2002
[c9]Panrasee Ritthipravat, Kenji Nakayama: Obstacle Avoidance by Using Modified Hopfield Neural Network. IC-AI 2002: 161-167- 2000
[c8]Kenji Nakayama, Akihiro Hirano, Aki Kanbe: A Structure Trainable Neural Network with Embedded Gating Units and Its Learning Algorithm. IJCNN (3) 2000: 253-258
[c7]Kenji Nakayama, Akihiro Hirano, Motoki Nitta: A Constraint Learning Algorithm for Blind Source Separation. IJCNN (3) 2000: 327-332
[c6]Kazuyuki Hara, Kenji Nakayama: A Training Method with Small Computation for Classification. IJCNN (3) 2000: 543-548
1990 – 1999
- 1998
[c5]Kazushi Ikeda, Seiji Miyoshi, Kenji Nakayama: Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies. ICONIP 1998: 1215-1218
[c4]Kanad Keeni, Kenji Nakayama, Hiroshi Shimodaira: Automatic Generation of Initial Weights and Target Outputs of Multilayer Neural Networks and Its Application to Pattern Classification. ICONIP 1998: 1622-1625- 1997
[c3]Ashraf A. M. Khalaf, Kenji Nakayama, Kazuyuki Hara: A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input Sequence. ICANN 1997: 1047-1052
[c2]Kanad Keeni, Hiroshi Shimodaira, Kenji Nakayama: On Distributed Representation of Output Layer for Recognizing Japanese Kana characters Using Neural Networks. ICDAR 1997: 600-603- 1996
[c1]Hong Wang, Zhiqiang Ma, Kenji Nakayama: Effectiveness of Penalty Function in Solving the Subset Sum Problem. International Conference on Evolutionary Computation 1996: 422-425
Coauthor Index
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last updated on 2012-12-02 21:03 CET by the dblp team



